Daniel J. Marston

1.1k total citations
18 papers, 759 citations indexed

About

Daniel J. Marston is a scholar working on Molecular Biology, Cell Biology and Aging. According to data from OpenAlex, Daniel J. Marston has authored 18 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Aging. Recurrent topics in Daniel J. Marston's work include Cellular Mechanics and Interactions (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Daniel J. Marston is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). Daniel J. Marston collaborates with scholars based in United States, United Kingdom and Denmark. Daniel J. Marston's co-authors include Catherine D. Nobes, Sarah E. Moorey, Bob Goldstein, Klaus M. Hahn, Timothy Walston, Jeff Hardin, John Sondek, Daniel J. Dickinson, Christopher D. Higgins and Regan P. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Daniel J. Marston

18 papers receiving 751 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel J. Marston United States 13 425 399 212 87 62 18 759
Daria E. Siekhaus Austria 18 440 1.0× 309 0.8× 197 0.9× 57 0.7× 41 0.7× 31 885
Shoshana Posy United States 8 538 1.3× 265 0.7× 116 0.5× 90 1.0× 35 0.6× 8 758
Masashi Fukuzawa Japan 18 635 1.5× 483 1.2× 126 0.6× 81 0.9× 69 1.1× 36 978
Mohit Prasad India 11 457 1.1× 642 1.6× 186 0.9× 26 0.3× 151 2.4× 21 957
Yukako Nishimura Singapore 13 422 1.0× 578 1.4× 45 0.2× 56 0.6× 42 0.7× 16 802
Luis Alberto Baena-López United Kingdom 17 861 2.0× 617 1.5× 179 0.8× 52 0.6× 35 0.6× 30 1.2k
Olga Markova France 11 385 0.9× 442 1.1× 144 0.7× 17 0.2× 93 1.5× 17 726
Sawako Yamashiro Japan 19 363 0.9× 442 1.1× 60 0.3× 124 1.4× 46 0.7× 35 813
Carlos M. Luque Spain 13 505 1.2× 431 1.1× 197 0.9× 19 0.2× 55 0.9× 17 899
Jesús M. López-Gay France 8 328 0.8× 477 1.2× 79 0.4× 57 0.7× 63 1.0× 10 699

Countries citing papers authored by Daniel J. Marston

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Marston's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel J. Marston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Marston more than expected).

Fields of papers citing papers by Daniel J. Marston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Marston. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Marston. The network helps show where Daniel J. Marston may publish in the future.

Co-authorship network of co-authors of Daniel J. Marston

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Marston. A scholar is included among the top collaborators of Daniel J. Marston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Marston. Daniel J. Marston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Pimenta, Frederico M., et al.. (2023). Rho MultiBinder, a fluorescent biosensor that reports the activity of multiple GTPases. Biophysical Journal. 122(18). 3646–3655. 3 indexed citations
2.
Marston, Daniel J., et al.. (2021). Correcting Artifacts in Ratiometric Biosensor Imaging; an Improved Approach for Dividing Noisy Signals. Frontiers in Cell and Developmental Biology. 9. 685825–685825. 4 indexed citations
3.
Marston, Daniel J., Marco Vilela, Jinqi Ren, et al.. (2020). Multiplexed GTPase and GEF biosensor imaging enables network connectivity analysis. Nature Chemical Biology. 16(8). 826–833. 20 indexed citations
4.
Liu, Bei, Daniel J. Marston, & Klaus M. Hahn. (2020). Engineering Optogenetic Protein Analogs. Methods in molecular biology. 2173. 113–126. 1 indexed citations
5.
Padhi, Abinash, Janusz Franco‐Barraza, Daniel J. Marston, et al.. (2020). Force-exerting perpendicular lateral protrusions in fibroblastic cell contraction. Communications Biology. 3(1). 390–390. 25 indexed citations
6.
Marston, Daniel J., Karen Anderson, Mark F. Swift, et al.. (2019). High Rac1 activity is functionally translated into cytosolic structures with unique nanoscale cytoskeletal architecture. Proceedings of the National Academy of Sciences. 116(4). 1267–1272. 28 indexed citations
7.
Azoitei, Mihai L., Jungsik Noh, Daniel J. Marston, et al.. (2019). Spatiotemporal dynamics of GEF-H1 activation controlled by microtubule- and Src-mediated pathways. The Journal of Cell Biology. 218(9). 3077–3097. 43 indexed citations
8.
Porter, Andrew P., Gavin White, Zoi Diamantopoulou, et al.. (2018). STEF/TIAM2-mediated Rac1 activity at the nuclear envelope regulates the perinuclear actin cap. Nature Communications. 9(1). 2124–2124. 44 indexed citations
9.
Woodham, Emma F., Nikki R. Paul, Heather J. Spence, et al.. (2017). Coordination by Cdc42 of Actin, Contractility, and Adhesion for Melanoblast Movement in Mouse Skin. Current Biology. 27(5). 624–637. 34 indexed citations
10.
Marston, Daniel J., Christopher D. Higgins, Kimberly A. Peters, et al.. (2016). MRCK-1 Drives Apical Constriction in C. elegans by Linking Developmental Patterning to Force Generation. Current Biology. 26(16). 2079–2089. 70 indexed citations
11.
MacNevin, Christopher J., Alexei Toutchkine, Daniel J. Marston, et al.. (2016). Ratiometric Imaging Using a Single Dye Enables Simultaneous Visualization of Rac1 and Cdc42 Activation. Journal of the American Chemical Society. 138(8). 2571–2575. 20 indexed citations
12.
Khalil, Bassem D., Samer Hanna, Daniel J. Marston, et al.. (2013). The regulation of RhoA at focal adhesions by StarD13 is important for astrocytoma cell motility. Experimental Cell Research. 321(2). 109–122. 32 indexed citations
13.
Monaghan-Benson, Elizabeth, Rafael J. Rojas, Brenda Temple, et al.. (2011). SmgGDS Is a Guanine Nucleotide Exchange Factor That Specifically Activates RhoA and RhoC. Journal of Biological Chemistry. 286(14). 12141–12148. 52 indexed citations
14.
Marston, Daniel J., et al.. (2008). Wnt Signaling During Caenorhabditis elegans Embryonic Development. Methods in molecular biology. 469. 103–111. 5 indexed citations
15.
Marston, Daniel J. & Bob Goldstein. (2006). Actin-based forces driving embryonic morphogenesis in Caenorhabditis elegans. Current Opinion in Genetics & Development. 16(4). 392–398. 21 indexed citations
16.
Marston, Daniel J. & Bob Goldstein. (2006). Symmetry Breaking in C. elegans: Another Gift from the Sperm. Developmental Cell. 11(3). 273–274. 11 indexed citations
17.
Marston, Daniel J., et al.. (2006). Wnt/Frizzled Signaling Controls C. elegans Gastrulation by Activating Actomyosin Contractility. Current Biology. 16(20). 1986–1997. 110 indexed citations
18.
Marston, Daniel J., Sarah E. Moorey, & Catherine D. Nobes. (2003). Rac-dependent trans-endocytosis of ephrinBs regulates Eph–ephrin contact repulsion. Nature Cell Biology. 5(10). 879–888. 236 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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